Detection

class muse_origin.Detection(orig, idx, param)

Bases: muse_origin.Step

Detections on local maxima from correlation and std cube, and spatial-spectral merging in order to create the first catalog.

Parameters

thresholdfloat

User threshold if the estimated threshold from the previous step is not good.

threshold_stdfloat

User threshold if the estimated cube_std threshold is not good.

tol_spatint

Tolerance for the spatial merging (distance in pixels), defaults to 3. TODO en fonction du FWHM

tol_specint

Tolerance for the spectral merging (distance in pixels), defaults to 5.

segmapstr

Optional segmap to use instead of the one computed automatically on the continuum image.

Returns

self.Cat0astropy.table.Table

Catalog with all detections (correl and comp). Columns: x0 y0 z0 comp STD T_GLR profile

self.Cat1astropy.table.Table

Catalog with filtered and matched detections. Columns: ID ra dec lbda x0 y0 z0 comp STD T_GLR profile seg_label

self.segmap_labelImage

Segmentation map used for the catalog, either the one given as input, otherwise self.segmap_cont.

Attributes Summary

Cat0
Cat1
desc
name
require
segmap_label
status	Processing status (muse_origin.Status):

Methods Summary

__call__(self, \*args, \*\*kwargs)	Run a step, calling its run method.
det_correl_min(self[, thresh])	3D positions of detections in correl_min.
dump(self, outpath)	Save the attributes that have been created by the steps, and unload them to free memory.
load(self, outpath)	Recreate attributes of a step, not really loading them as just the file is set, and files are loaded in memory only if needed.
run(self, orig[, threshold, threshold_std, …])
store_cube(self, name, data, \*\*kwargs)	Create a MPDAF Cube and store it as an attribute.
store_image(self, name, data, \*\*kwargs)	Create a MPDAF Image and store it as an attribute.

Attributes Documentation

Cat0 = None

Cat1 = None

desc = 'Thresholding and spatio-spectral merging'

name = 'detection'

require = None

segmap_label = None

status

Processing status (muse_origin.Status):

• NOTRUN: The step has not been run.

• RUN: The step has been run but not saved.

• DUMP: The step has been run and its outputs saved to disk.

• FAILED: The step has been run but it failed.

Methods Documentation

__call__(self, *args, **kwargs)

Run a step, calling its run method.

This method is the one that is called from the ORIGIN object. It calls the run method of the step and also does a few additional things like storing the parameters, execution time and date.

det_correl_min(self, thresh=None)

3D positions of detections in correl_min.

dump(self, outpath)

Save the attributes that have been created by the steps, and unload them to free memory.

load(self, outpath)

Recreate attributes of a step, not really loading them as just the file is set, and files are loaded in memory only if needed.

run(self, orig, threshold=None, threshold_std=None, tol_spat=3, tol_spec=5, maxdist_lines=2.5, segmap=None)

store_cube(self, name, data, **kwargs)

Create a MPDAF Cube and store it as an attribute.

store_image(self, name, data, **kwargs)

Create a MPDAF Image and store it as an attribute.